{"id":"W2912005337","doi":"10.4324/9781351002479-3","title":"Working cowhorses in multispecies encounters","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Human-Animal Interaction Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001055473,0.0003500433,0.0002499881,0.0005818814,0.005805388,0.004383791,0.0007497,0.001201663,0.007727417],"category_scores_gemma":[0.0007092046,0.0002008756,0.0001298504,0.0006219827,0.0083785,0.003070324,0.002793344,0.001152641,0.0009521155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001859516,"about_ca_system_score_gemma":0.001353578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01400036,"about_ca_topic_score_gemma":0.06785613,"domain_scores_codex":[0.9993279,0.0003752287,0.0000122077,0.00007978611,0.0001149014,0.00009005188],"domain_scores_gemma":[0.999699,0.0001623863,0.0000287137,0.00001992286,0.00002303225,0.00006702691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002083106,0.00003340341,0.001631781,0.0002148052,0.000005806884,0.001044721,0.758545,0.00009302904,0.001355423,0.1721796,0.01306864,0.05180693],"study_design_scores_gemma":[0.000002091813,0.00004528191,0.00434437,0.0005336168,0.000004970459,0.001164079,0.2450551,0.00008929801,0.0003309168,0.0103966,0.7380192,0.0000143973],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3076491,0.03694236,0.006109095,0.01252969,0.0008040128,0.00009288626,0.00009830572,0.0000745842,0.6357],"genre_scores_gemma":[0.6343139,0.02168577,0.004999374,0.001915014,0.0002567037,0.00008676907,0.00009132785,0.0000790186,0.3365721],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01400036,"threshold_uncertainty_score":0.02783775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03101850347928456,"score_gpt":0.3169750531130666,"score_spread":0.2859565496337821,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}